The Hybrid Fruit Fly Intelligent Optimization Algorithm And Its Applied Research

The intelligent optimization algorithm is a new method to solve the optimization problem.The intelligent optimization algorithm is used to determine the hydrogeological model parameters,which is of great significance for expanding the application field of the intelligent optimization algorithm.This paper mainly studies the improvement of the fruit fly optimization algorithm,through the test function to check the optimization performance of the improved fruit fly optimization algorithm,and applies the algorithm to the determination of hydrogeological model parameters.The main research work of this paper is as follows:1.In order to solve the problem of low optimization accuracy and poor convergence of the fruit fly optimization algorithm,a hybrid fruit fly intelligent optimization algorithm is proposed.This algorithm integrates mutation,cross operation and chaos mapping into the fruit fly optimization algorithm at the same time,which can not only improve the optimization accuracy of the algorithm,but also improve the convergence of the algorithm.2.The test functions were used to test the fruit fly optimization algorithm,the fruit fly optimization with chaos algorithm,the fruit fly optimization with differential evolution algorithm,and the hybrid fruit fly intelligent optimization algorithm.The results show that the hybrid fruit fly intelligent optimization algorithm is significantly better than the other three algorithms in terms of the convergence accuracy and convergence.The second is the fruit fly optimization with differential evolution algorithm,the minimum order of convergence accuracy reaches 10-308,and its convergence is poor.The convergence accuracy and convergence of the fruit fly optimization with chaotic algorithm are poor,only slightly better than the fruit fly optimization algorithm.3.The fruit fly optimization algorithm,the fruit fly optimization with chaos algorithm,the fruit fly optimization with differential evolution algorithm,and the hybrid fruit fly intelligent optimization algorithm are respectively applied to the determination of the aquifer parameters on the linear impervious boundary.From the analysis of the results of the numerical experiments,it is known that the hybrid fruit fly intelligent optimization algorithm has the highest convergence accuracy and the best convergence effect when determining aquifer parameters.4.The hybrid fruit fly intelligent optimization algorithm is applied to the determination of the parameters of the BOD-DO water quality model.From the results of numerical experiments,it can be seen that the relative errors between the three parameter values calculated by the hybrid fruit fly intelligent optimization algorithm and the parameter true values are below 1%,which indicates that the hybrid fruit fly intelligent optimization algorithm can effectively determine the BOD-DO water quality model parameters.